Mapping computational thinking through programming in K-12 education: A conceptual model based on a systematic literature Review
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There is a noticeable trend toward integrating computational thinking into even the first levels of K-12 education.
“Thus, there's a noticeable trend toward integrating computational thinking (CT) into even the first levels of K-12 education [26][27][28].”
From Fostering computational thinking in young students through student generated challenges in tangible mobile augmented reality games (2025) · cites this paper as [26]
Cites
Three Approaches to Qualitative Content Analysis
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Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
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Technological Pedagogical Content Knowledge: A Framework for Teacher Knowledge
Mishra, P., & Koehler, M. J. (2006) · Teachers College Record: The Voice of Scholarship in Education · doi:10.1111/j.1467-9620.2006.00684.x · Cited by 12,604 · see citing works
Hsu, T.-C., Chang, S.-C., & Hung, Y.-T. (2018) · Computers & Education · doi:10.1016/j.compedu.2018.07.004 · Cited by 788 · see citing works
Supporting all learners in school-wide computational thinking: A cross-case qualitative analysis
Israel, M., Pearson, J. N., Tapia, T., Wherfel, Q. M., & Reese, G. (2015) · Computers & Education · doi:10.1016/j.compedu.2014.11.022 · Cited by 333 · see citing works
Developing Computational Thinking with Educational Technologies for Young Learners
Ching, Y.-H., Hsu, Y.-C., & Baldwin, S. (2018) · TechTrends · doi:10.1007/s11528-018-0292-7 · Cited by 202 · see citing works
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Yilmaz, R., & Karaoglan Yilmaz, F. G. (2023) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2023.100147 · Cited by 745 · see citing works
Yilmaz, R., & Karaoglan Yilmaz, F. G. (2023) · Computers in Human Behavior: Artificial Humans · doi:10.1016/j.chbah.2023.100005 · Cited by 344 · see citing works
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Alvarez, R. P., Jivet, I., Perez-Sanagustin, M., Scheffel, M., & Verbert, K. (2022) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2022.3193271 · Cited by 81 · see citing works
Falloon, G. (2024) · Computers & Education · doi:10.1016/j.compedu.2024.105045 · Cited by 63 · see citing works
Ouyang, F., Guo, M., Zhang, N., Bai, X., & Jiao, P. (2024) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2024.3486749 · Cited by 39 · see citing works
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- Authors
- Tikva, C., & Tambouris, E.
- Affiliations
- University of Macedonia (GR)
- Corresponding author
- Tikva, Christina
- Venue
- Computers & Education
- Publisher
- Elsevier BV
- Published
- 2021-03
- Volume
- 162
- Pages
- 104083
- ISSN
- 0360-1315 (ISSN-L)
- OpenAlex
- W3107163149
- Cited by
- 296
- References
- 7
- Citations by year
- 2026: 53 · 2025: 60 · 2024: 57 · 2023: 68 · 2022: 45 · 2021: 13
- FWCI
- 4.95
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers & Education (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
- Physical Sciences › Engineering › Mechanical Engineering › Design Education and Practice
- Social Sciences › Gender Studies › Gender and Technology in Education
- Keywords
- computational thinking, programming education, K-12 education, conceptual model, 21st century skills, learning strategies, assessment, teaching aids, capacity building
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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